Biology Online Module Handbook

BL4266 Conservation Research Methods

(BL4266 online module handbook version 18)

cover image

image: An individually marked redshank - when animals become individuals we can estimate survival rates and population estimates accurately

The conservation of animal and plant populations relies initially on information of population sizes and trends. This information can only be collected by fieldwork. This module teaches the basic field techniques that underpin the monitoring of populations. Each week the theory behind a different technique is introduced, then the technique is practiced in the field, and finally data collected by the technique are analysed and discussed in a workshop at the end of the week, so that a full understanding of a technique and its proper application is gained. The module ends with students carrying out a project applying and integrating the techniques they have learnt.*

Credits: 15*

Semester: 1

Module Organiser
Prof Will Cresswell
wrlc@st-andrews.ac.uk
01334 463010
Pre-requisite Modules:
Before taking this module you must pass BL3309*
Anti-requisite Modules:
*
Post-requisite Modules:
*
Additional Module Information:
Please check MMS regularly for additional module information


Biology Teaching Office:
The Biology Hive, New Technology Centre, University of St Andrews, North Haugh, St Andrews, Fife KY16 9SR

Email: bioteach@st-andrews.ac.uk      Tel: 01334  463602

BL4266: Timetable

Legend (not all modules have every event type):
lecture
tutorial
workshop
practical
other

Semester 1: Week -1

DATE & TIMEVENUESTAFFEVENT
Friday
14-09-2018
09:00 to 09:30
Bute Building
Lecture Theatre D
Prof Will Cresswell
Prof Philip Hammond
Lecture L1: Introduction meeting
2018-9_BL4266_L1

Semester 1: Week 1

DATE & TIMEVENUESTAFFEVENT
Monday
17-09-2018
10:00 to 11:00
St Mary's College
Seminar Room 2
Prof Will Cresswell

Lecture L2: Sampling design: random, stratified sampling, biases
2018-9_BL4266_L2
Tuesday
18-09-2018
12:00 to 13:30
Other
St Andrews Castle Beach
Prof Will Cresswell

Practical P1: Field trip St Andrews rocky shore below the Castle
2018-9_BL4266_P1
Friday
21-09-2018
11:00 to 13:00
Bute Building
Computer Lab
Prof Will Cresswell

Workshop W1: Analysis of field data - stratified sampling and bootstrapping
2018-9_BL4266_W1

Semester 1: Week 2

DATE & TIMEVENUESTAFFEVENT
Monday
24-09-2018
10:00 to 11:00
St Mary's College
Seminar Room 2
Prof Will Cresswell

Lecture L3: Counts: variation between observers and techniques; assessing necessary sampling effort, confidence limits
2018-9_BL4266_L3
Tuesday
25-09-2018
09:00 to 11:00
Other
Eden Estuary
Prof Will Cresswell

Practical P2: Field trip to Eden Estuary - learning field counting methods
2018-9_BL4266_P2
Friday
28-09-2018
11:00 to 13:00
Bute Building
Computer Lab
Prof Will Cresswell

Workshop W2: Analysis of field data - modelling count data
2018-9_BL4266_W2

Semester 1: Week 3

DATE & TIMEVENUESTAFFEVENT
Monday
01-10-2018
10:00 to 11:00
St Mary's College
Seminar Room 2
Prof Will Cresswell

Lecture L4: Behavioural sampling - focal and continuous techniques
2018-9_BL4266_L4
Tuesday
02-10-2018
13:30 to 15:30
Other
Eden Estuary
Prof Will Cresswell

Practical P3: Field trip to Eden Estuary - learning field behavioural sampling methods
2018-9_BL4266_P3
Friday
05-10-2018
11:00 to 13:00
Bute Building
Computer Lab
Prof Will Cresswell

Workshop W3: Analysis of field data - modelling behavioural data
2018-9_BL4266_W3

Semester 1: Week 4

DATE & TIMEVENUESTAFFEVENT
Monday
08-10-2018
10:00 to 11:00
St Mary's College
Seminar Room 2
Prof Philip Hammond

Lecture L5: Line transect sampling: an introduction
2018-9_BL4266_L5
Tuesday
09-10-2018
09:00 to 11:00
Other
East Sands (grass by beach)
Prof Philip Hammond

Practical P4: Line transect survey (field practical)
2018-9_BL4266_P4
Friday
12-10-2018
14:00 to 16:00
St Mary's College
Lecture Room 3
Prof Philip Hammond

Workshop W4: Line transect data analysis (data analysis practical)
2018-9_BL4266_W4

Semester 1: Week 5

DATE & TIMEVENUESTAFFEVENT
Monday
15-10-2018
10:00 to 11:00
St Mary's College
Seminar Room 2
Prof Philip Hammond

Lecture L6: Mark-recapture: an introduction
2018-9_BL4266_L6
Friday
19-10-2018
11:00 to 13:00
St Mary's College
Lecture Room 3
Prof Philip Hammond

Workshop W5: Mark-recapture estimation of population size I (data analysis practical)
2018-9_BL4266_W5
Friday
19-10-2018
14:00 to 16:00
Bute Building
C26
Prof Philip Hammond

Workshop W6: Mark-recapture estimation of population size II (data analysis practical)
2018-9_BL4266_W6

Semester 1: Week 7

DATE & TIMEVENUESTAFFEVENT
Monday
29-10-2018
10:00 to 11:00
St Mary's College
Seminar Room 2
Prof Philip Hammond

Lecture L7: Life tables and survival analysis
2018-9_BL4266_L7
Thursday
01-11-2018
11:00 to 13:00
St Mary's College
Seminar Room 1
Prof Philip Hammond

Workshop W7: Life table analysis (data analysis practical)
2018-9_BL4266_W7
Friday
02-11-2018
11:00 to 13:00
Bute Building
C26
Prof Philip Hammond

Workshop W8: Mark-recapture estimation of survival rates (data analysis practical)
2018-9_BL4266_W8

Semester 1: Week 8

DATE & TIMEVENUESTAFFEVENT
Monday
05-11-2018
10:00 to 11:00
St Mary's College
Seminar Room 2
Prof Will Cresswell
Prof Philip Hammond
Workshop W9: Project proposal meeting
2018-9_BL4266_W9
Thursday
08-11-2018
11:00 to 13:30
Bute Building
Lecture Theatre A
Prof Will Cresswell

Other O1: Project proposal presentations
2018-9_BL4266_O1
Data Sources: information in this online module handbook is gathered from several sources.
Small footnote marks beside content, or by section titles indicate the source.
* University of St Andrews Module Catalogue
School of Biology Symbiosis Database (module organisers only)
University of St Andrews MMS (St Andrews users only)

BL4266: Assessment

Coursework = 100%*

Assessment:
Oral presentation
Due by:
08/11/2018 23:59
Feedback due by:
29/11/2018 23:59
Type:
Single Upload
Weight:
25%
Assessment:
Project Proposal
Due by:
13/11/2018 23:59
Feedback due by:
04/12/2018 23:59
Type:
Turnitin
Weight:
25%
Assessment:
Research project
Due by:
30/11/2018 18:00
Feedback due by:
21/12/2018 18:00
Type:
Turnitin
Weight:
50%

(MMS assessment data cached: 14 November 2018 23:20:08.)


The following related information applies to all Biology modules:

School of Biology Marking Criteria: See School of Biology Undergraduate Handbook
Late submission of continuous assessment work:

All late submissions of coursework that do not require electronic submission should be made via the late submissions box in the Biomolecular Science Building (beside the Teaching Office)
Exam details: See School of Biology Undergraduate Handbook
Exam timetable: see http://www.st-andrews.ac.uk/students/academic/examinations/examtimetablescurrent/
Expected attendance: See School of Biology Undergraduate Handbook for detailed attendance requirements.
Good Academic Practice & Avoiding Academic Misconduct: See School of Biology Undergraduate Handbook
University Student Handbook: University Student Handbook
School and University regulations in the School and University Undergraduate Handbook relating to absence reporting, penalties and rules for late submission of work, extensions for coursework, return of coursework, S-coding, good academic practice and Academic Alerts.: School of Biology Undergraduate Handbook University Student Handbook
Data Sources: information in this online module handbook is gathered from several sources.
Small footnote marks beside content, or by section titles indicate the source.
* University of St Andrews Module Catalogue
School of Biology Symbiosis Database (module organisers only)
University of St Andrews MMS (St Andrews users only)

Who to ask

(Information in this section applies to all Biology Modules)

Questions about different aspects of the module should be directed to different people:

Questions about Contact
General teaching matters Biology Teaching Office ( bioteach@st-andrews.ac.uk )
Rescheduled or cancelled events Check your University email
Lecture or practical content The lecturer who presented the material
Completing assessed practical assignments The lecturer who set the assignment
Completing assessments Module Organiser (Prof Will Cresswell wrlc@st-andrews.ac.uk)
Marking on continuous assessment The Demonstrator or Module Organiser (Prof Will Cresswell wrlc@st-andrews.ac.uk)
Marking on exams Module Organiser (Prof Will Cresswell wrlc@st-andrews.ac.uk)
Rearranging practical days Grant Brown
Absence and/or extensions Module Organiser (Prof Will Cresswell wrlc@st-andrews.ac.uk) and the Biology Teaching Office ( bioteach@st-andrews.ac.uk )

Difficulties with academic progress which impact more than one module:

Year Coordinator

See School of Biology Undergraduate student handbook for list: http://biology.st-andrews.ac.uk/documents/UndergraduateHandbook.pdf

Overall performance, progress or future directions:

Advisor of Studies

Disability:

Disability Coordinator (Dr Jacqueline Nairn jn37@st-andrews.ac.uk)

Biology Teaching Office:

The Biology Hive, New Technology Centre, University of St Andrews, North Haugh, St Andrews, Fife KY16 9SR

Email: bioteach@st-andrews.ac.uk

Tel: 01334 463602

BL4266: Contributing Staff

Prof Will Cresswell

Prof Will Cresswell
(Module Organiser)

Professor of Biologywrlc@st-andrews.ac.uk
Prof Will CresswellProf Will Cresswell
(Module Organiser)
Professor of Biologywrlc@st-andrews.ac.uk
Prof Philip HammondProf Philip HammondProfessorpsh2@st-andrews.ac.uk
Data Sources: information in this online module handbook is gathered from several sources.
Small footnote marks beside content, or by section titles indicate the source.
* University of St Andrews Module Catalogue
School of Biology Symbiosis Database (module organisers only)
University of St Andrews MMS (St Andrews users only)

BL4266: Learning Outcomes

Students completing module BL4266 successfully should be able to:

  • Understand the process of designing and implementing an efficient conservation-based assessment of key population parameters.
  • Use basic specific skills necessary for answering a range of conservation research questions to do with population size
  • Evaluate whether methods are appropriate and efficient to address conservation research questions
  • Analyse pilot data efficiently within the context of determining the limitations of the pilot data and the methods used to collect it so that they can both then be improved.
  • Present and fully justify the methods chosen to most efficiently answer a conservation research question.
Data Sources: information in this online module handbook is gathered from several sources.
Small footnote marks beside content, or by section titles indicate the source.
* University of St Andrews Module Catalogue
School of Biology Symbiosis Database (module organisers only)
University of St Andrews MMS (St Andrews users only)

BL4266: Acquired Skills

Practical Skills

  • Field sampling methods (Invertebrates)
  • Field sampling methods (Vertebrates)
  • Fieldwork safety awareness
  • Species identification (Vertebrates)

Transferable Skills

  • Short individual presentation on project idea (up to 15 min)
  • "Full" practical write-up (Intro, Methods, Results, Discussion)
  • Project report
  • Research proposal
  • Response to comments on proposal
  • Critically evaluating sources/information
  • Finding information on the web
  • Finding literature
  • Referencing
  • Sourcing figures/tables
  • Computer programming
  • Generating questions
  • Peer assessment
  • Problem-solving questions
  • ANOVA/Kruskal-Wallis test
  • Calculations/equations
  • Data analysis
  • Data analysis (depending on project)
  • Data presentation
  • Deal with outliers
  • Decimal places
  • Descriptive statistics
  • Distinguish different types of data
  • Draw a line of best fit
  • Generalised Linear Models
  • Interpolation
  • Linear regression
  • Logarithms
  • Non-linear fit
  • Other mathematical models
  • Pearson/Spearman rank correlation
  • Produce graphs/figures
  • Produce tables
  • Scaling
  • Shapiro-Wilk test for normality
  • SI units
  • Significant figures
  • Survival analysis
  • t-test/Wilcoxon test
  • Two-way ANOVA
  • Use Excel
  • Use other data analysis software
  • Use R or R Studio
  • Lab or field notebook
  • Critiquing experimental design
  • Designing experiments
  • Generate class dataset
  • Managing a team
  • Organising group work
  • Working in pairs/small groups
Data Sources: information in this online module handbook is gathered from several sources.
Small footnote marks beside content, or by section titles indicate the source.
* University of St Andrews Module Catalogue
School of Biology Symbiosis Database (module organisers only)
University of St Andrews MMS (St Andrews users only)

Policies

(Information in this section applies to all Biology Modules)